NCBI PubMed Central
open access
New challenges in horticultural IPM: artificial intelligence can enhance the use of biocontrol agents.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Machine learning-enabled chemical ecology for integrated pest management: from volatiles to field applications.#653482
- Machine learning-enabled chemical ecology for integrated pest management: from volatiles to field applications.#646477
- Agriculture and Food in the Era of Generative Artificial Intelligence: Constructing the AIFE-SC (Artificial Intelligence–Food–Ecology Symbiosis Cycle) Theory#728352
- Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture.#251369
- Artificial Intelligence in Postharvest Food Safety Control of Animal-Source Foods: Evidence Thresholds, Validation, and Regulatory Applicability.#317684
Record · ID 1404306
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive